Hello, I'm
Machine Learning Engineer | Data Scientist
I build end-to-end machine learning systems, data products, and analytics solutions - from exploration to deployment with a focus on real-world impact.
I'm a Machine Learning Engineer and Data Scientist based in Nairobi, Kenya, passionate about creating intelligent systems that solve real problems. My work spans the full ML lifecycle - from data exploration and feature engineering to model development, deployment, and monitoring.
I believe in the power of data and AI to drive meaningful change, especially in African contexts, where responsible and thoughtful AI can make a significant difference.
A selection of machine learning systems, analytics dashboards, and exploratory AI work.
End-to-end hybrid recommender combining collaborative filtering (SVD) with content-based methods (TF-IDF), served via FastAPI.
End-to-end ML pipeline for diabetes prediction with comprehensive feature engineering, model comparison, and production API deployment.
Regression modeling on real Kenyan real estate data, featuring location-based feature engineering and market insights.
Bitcoin price forecasting using Long Short-Term Memory networks with interactive Streamlit visualization dashboard.
Text classification pipeline comparing classical ML approaches with transformer-based models for sentiment analysis.
Exploratory projects in transfer learning, image segmentation, and object detection — building foundational CV skills.
Analyzed M-Pesa transaction data from June 2023 to June 2024 using Power BI. Transformed and cleaned data to uncover key transaction categories, spending habits, and financial trends over the period.
Selected data analytics projects showcasing insights from entertainment and retail data. Includes interactive dashboards and demographic analyses to uncover trends, patterns, and actionable insights.
Collection of interactive dashboards built with Power BI to visualize and analyze complex datasets. Offers actionable insights and supports data-driven decision-making through engaging visuals.
Dynamic dashboards created with Tableau for exploring and understanding complex data. Features intuitive navigation and compelling visualizations for storytelling with data.
Originally published on Medium.
Exploring fairness, transparency, and accountability in ML systems for financial inclusion.
Read on Medium →A deep dive into combining collaborative and content-based filtering approaches.
Read on Medium →Practical guide to implementing LSTM networks for temporal predictions.
Read on Medium →Breaking down the attention mechanism and transformer components.
Read on Medium →Applied ML on local real estate data with Kenyan market insights.
Read on Medium →A clear guide to classification metrics that actually makes sense.
Read on Medium →Practical strategies for optimizing model performance systematically.
Read on Medium →Understanding the distinction and when to apply each technique.
Read on Medium →Applied research interests in trustworthy AI, recommender systems, and ML systems for African contexts. Exploring how responsible machine learning can address local challenges in health, finance, and governance.
Publications forthcoming.
Africa's premier machine learning gathering — connecting with researchers and practitioners across the continent.
Won the hackathon building agentic AI solutions. View on LinkedIn →
Contributing to tech communities through mentorship and knowledge sharing initiatives.
Open to opportunities, collaborations, and conversations about ML, data, and tech for good.